After 13 years in Data Science and Analytics, I’ve realized that we spend far more time discussing “innovation” than we do managing the “interest” on our technical debt.
Strong framing. What landed for me was calling out inadvertent debt - most teams don’t choose it, they just wake up inside it.
I also like separating model debt from knowledge debt. I’ve seen orgs invest heavily in MLOps and still be fragile because two people “just know how it works.” That risk rarely shows up in roadmaps until it’s too late.
Curious which pillar you see most often underestimated at leadership level - infra, data, or knowledge?
Strong framing. What landed for me was calling out inadvertent debt - most teams don’t choose it, they just wake up inside it.
I also like separating model debt from knowledge debt. I’ve seen orgs invest heavily in MLOps and still be fragile because two people “just know how it works.” That risk rarely shows up in roadmaps until it’s too late.
Curious which pillar you see most often underestimated at leadership level - infra, data, or knowledge?
I'm actually working on a series to explain each pillar in more detail and I think the knowledge is underestimated more than others🤔
This piece really made me think. That line about managing the *interest* on tech debt more than 'innovation' is just so true, tho.
This was an interesting concept to read, looking forward to read more.
Thank you so much! This comment is really motivating🙌🏻